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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

NIR spectroscopy and chemometric tools to identify high content of deoxynivalenol in barley

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Autor(es):
Carames, Elem Tamirys dos Santos [1] ; Piacentini, Karim C. [1] ; Alves, Lucas Teixeira [1] ; Pallone, Juliana Azevedo Lima [1] ; Rocha, Liliana de Oliveira [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, Sch Food Engn, Dept Food Sci, Sao Paulo - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: Food Additives and Contaminants Part A-Chemistry Analysis Control Exposure; v. 37, n. 9, p. 1542-1552, SEP 1 2020.
Citações Web of Science: 3
Resumo

Deoxynivalenol (DON) is one of the mycotoxins produced mainly by theFusarium graminearumspecies complex in small grain cereals, including barley. This toxin can cause alimentary disorders, immune function depression and gastroenteritis. The negative health effects associated with DON coupled to the increasing concern about green and rapid methods of analysis motivated this study. In this context, near infrared (NIR) spectroscopy data were applied for exploratory analysis to distinguish barley with high and low levels of DON contamination (> or <1250 mu g/kg according to the European Union threshold), by Partial Least Squares-Discriminant Analysis (PLS-DA), and to verify the performance of Partial Least Squares-Regression (PLS-R) to predict DON concentration in barley samples. Maximum values of specificity and sensitivity were achieved in the calibration set; 90.9% and 81.9% were observed in the cross-validation set for the PLS-DA classification model. PLS-R quantification of DON in barley presented low values of error (RMSEC = 101.94 mu g/kg and RMSEP = 160.76 mu g/kg). Thus, we found that NIR in combination with adequate chemometric tools could be applied as a green technique to monitor DON contamination in barley. (AU)

Processo FAPESP: 17/04811-4 - Estrutura populacional do complexo de espécies Fusarium graminearum e perfil da contaminação por micotoxinas em cevada cultivada e selvagem do Brasil
Beneficiário:Liliana de Oliveira Rocha
Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores